搜索资源列表
BP_sin(x)
- BP算法拟合f(x)=sin(x)函数,样本数为9对，目标值0.001-BP fitting algorithm f (x) = sin (x) function, sample size for the nine right, the target value 0.001
BP_sin(x)-x
- BP算法拟合f(x1,x2)=sin((x1)/x1)*sin((x2)/x2)*函数,样本数为21*21对-BP fitting algorithm f (x1, x2) = sin ((x) / x) * sin ((x2) / x2) * function, sample size of 21 * 21 pairs
BP_abs(sinX)
- BP算法拟合y=abs(sin(x))函数，样本数9对，目标值0.001-BP algorithm fitting y = abs (sin (x)) function, for nine samples right, the target value 0.001
FHYC
- 人工网络法预测电力负荷的编程，利用VB等面向对象语言实现-This procedure is a simple to use VB first load forecast data fitting procedure, C preparation.
interpolation
- 从随机的数据中找出其规律性，给出其近似表达式的问题，在生产实践和科学实验中大量存在，通常利用数据的最小二乘法求得拟合曲线。-From random data to find its regularity, give its approximate expression problems in the production practice and scientific experiments abound, often use the data obtained by least squares
least_squares_analysis_0809
- （1）最小二乘法拟合圆（二维平面）； （2）将拟合结果写入txt文件-least squares fitting
Curve-fitting-calculation
- Curve fitting calculation Curve fitting calculation-Curve fitting calculationCurve fitting calculationCurve fitting calculation
BP
- BP网络进行花瓣分类,训练方法有传统最速下降法和LM法。最速下降法在线更新，有过拟合的问题。LM法，采用批量更新。-BP network petals classify traditional training methods of steepest descent method and LM method. Steepest descent method online updates, there is the problem of over-fitting. LM method, using
Least-squares-curve-fitting
- 最小二乘曲线拟合 输入数据和阶数 输出函数系数-Least-squares curve fitting and order input data output function coefficients